Virtual Inertia Adaptive Control Strategy for DFIG Wind Turbines Based on Exponential Function

Zhang, Liusheng; Xie, Zhen; Chang, Yuyang; Zhu, Hong

doi:10.1109/iciea48937.2020.9248341

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…On the other hand, the steady-state interval of frequency and the steadystate inertia are set to improve the system frequency stability. Alternating inertia is also proposed in (Alipoor et al, 2014;Cheng et al, 2015;Li et al, 2016;Wang et al, 2018;Zhang et al, 2020), where the main idea is to give the moment of inertia by evaluating the state of the frequency deviation Δf and its rate of change df/dt. However, df/dt is very sensitive to high-frequency noise, which is inevitable in real physical systems.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, the full-order small-signal model of the system containing the non-linear inertia regulator is established in this paper to evaluate the stability of the proposed strategy. Compared with (Alipoor et al, 2014;Li et al, 2016;Wang et al, 2018;Zhang et al, 2020), the proposed adaptive strategy is implemented without derivative action (df/dt) and thus the performance is insensitive to high-frequency noise. Finally, the effectiveness of the proposed strategy is verified by the hardwarein-the-loop (HIL) results.…”

Section: Introductionmentioning

confidence: 99%

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A sigmoid-based adaptive inertia control strategy for grid-forming inverter to enhance frequency stability

Huang

Dong

et al. 2023

Front. Energy Res.

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Introduction: This paper proposes a sigmoid-based adaptive inertia control strategy for grid-forming (GFM) inverter to enhance frequency stability.Methods: Firstly, the frequency response characteristics under different disturbances are analyzed theoretically. Then, to solve the problem that fixed inertia leads to a contradiction between the maximum frequency deviation and the setting time, a non-linear inertia regulator is investigated. This non-linear inertia regulator, which is based on an improved sigmoid function, is applied to achieve real-time inertia by the frequency deviation. Moreover, the full-order small-signal model of the system containing the nonlinear inertia regulator is established and thus the stability of the proposed strategy is analyzed.Result and Discussion: The proposed control strategy is implemented without derivative action, which may suffer from high-frequency noises. Finally, the hardware-inthe-loop (HIL) results verify the remarkable performance of the proposed control strategy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A sigmoid-based adaptive inertia control strategy for grid-forming inverter to enhance frequency stability

Huang

Dong

et al. 2023

Front. Energy Res.

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Frequency Stabilization Control Method for Industrial Microgrid Considering Inertia Response of Electrolytic Aluminum Load

Du,

Liu,

et al. 2023

2023 3rd Power System and Green Energy Conference (PSGEC)

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Applicability of multi-agent control for virtual inertia modes in a wind power plant

Astapov

2024

jour

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This work presents a literature review devoted to increasing the efficiency and quality of managing wind power plants. The analysis focuses on mitigating the adverse effects of wind turbines on the power system and providing system services, such as primary frequency regulation. Nearly 150 scientific publications and reviews, selected from various scientific sources (such as IEEE, Web of Science and Scopus) by the keywords, including “wind power station”, “wind turbine”, “multi-agent control”, “virtual inertia”, “microgrid”, “virtual power plant”, and “frequency control”, were evaluated.A systematic review methodology of specialised sources was applied, which offers a defined structure for this field of research by categorising articles. The study emphasises the urgency of developing technologies to increase the regulation capacity of a wind power plant, since the low inertia of renewable energy sources leads to a decrease in the stability of power systems, a significant proportion of which accounts for wind power plants. It follows from the literature review that one of the means to increase the stability of such power systems is the creation of virtual inertia for wind power plants. However, due to the limited capacity and control capabilities of each individual wind turbine, the efficiency of introduced virtual inertia may be insufficient, when implemented for individual units. Moreover, it is shown that uncoordinated control can affect the stability of the system. In this review, the specific sources considering coordinated multi-agent control of the virtual inertia for several wind turbines (wind power plants) were analysed. The review concludes that the proposed approach is currently understudied, while the outlined theses can be confirmed by developing the necessary algorithms and analysing the results.

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Virtual Inertia Adaptive Control Strategy for DFIG Wind Turbines Based on Exponential Function

Cited by 3 publications

References 2 publications

A sigmoid-based adaptive inertia control strategy for grid-forming inverter to enhance frequency stability

A sigmoid-based adaptive inertia control strategy for grid-forming inverter to enhance frequency stability

Frequency Stabilization Control Method for Industrial Microgrid Considering Inertia Response of Electrolytic Aluminum Load

Applicability of multi-agent control for virtual inertia modes in a wind power plant

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